Shao-Wu Zhang

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 23

Top Topics

Negative Binomial

Interaction Patterns

Transcription Factor Binding Sites

Top Venues

PLoS Comput. Biol.

Artif. Intell. Medicine

Publications

Yue-Hua Feng, Shao-Wu Zhang, Yi-Yang Feng, Qing-Qing Zhang, Ming-Hui Shi, Jian-Yu Shi
A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions. Briefings Bioinform. 24 (1) (2023)
Yan-Rui Qiang, Shao-Wu Zhang, Jia-Ni Li, Yan Li, Qin-Yi Zhou
Diagnosis of Alzheimer's disease by joining dual attention CNN and MLP based on structural MRIs, clinical and genetic data. Artif. Intell. Medicine 145 (2023)
Shao-Wu Zhang, Jing-Yu Xu, Tong Zhang
DGMP: Identifying Cancer Driver Genes by Jointing DGCN and MLP from Multi-omics Genomic Data. Genom. Proteom. Bioinform. 20 (5) (2022)
Teng Zhang, Shao-Wu Zhang, Jian Feng, Bei Zhang
: predicting m6A regulation of gene expression in multiple-groups context by a Bayesian hierarchical mixture model. Briefings Bioinform. 23 (4) (2022)
Fang Jing, Shao-Wu Zhang, Zhen Cao, Shihua Zhang
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (1) (2021)
Weifeng Guo, Xiangtian Yu, Qianqian Shi, Jing Liang, Shao-Wu Zhang, Tao Zeng
Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis. PLoS Comput. Biol. 17 (5) (2021)
Fang Jing, Shao-Wu Zhang, Shihua Zhang
Prediction of enhancer-promoter interactions using the cross-cell type information and domain adversarial neural network. BMC Bioinform. 21 (1) (2020)
Jinwang Feng, Shao-Wu Zhang, Luonan Chen, Alzheimer's Disease Neuroimaging Initiative
Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier. Artif. Intell. Medicine 108 (2020)
Ze-Gang Wei, Shao-Wu Zhang, Fei Liu
smsMap: mapping single molecule sequencing reads by locating the alignment starting positions. BMC Bioinform. 21 (1) (2020)
Xiao-Nan Fan, Shao-Wu Zhang
LPI-BLS: Predicting lncRNA-protein interactions with a broad learning system-based stacked ensemble classifier. Neurocomputing 370 (2019)
Weifeng Guo, Shao-Wu Zhang, Tao Zeng, Yan Li, Jianxi Gao, Luonan Chen
A novel network control model for identifying personalized driver genes in cancer. PLoS Comput. Biol. 15 (11) (2019)
Song-Yao Zhang, Shao-Wu Zhang, Xiao-Nan Fan, Teng Zhang, Jia Meng, Yufei Huang
FunDMDeep-m6A: identification and prioritization of functional differential m6A methylation genes. Bioinform. 35 (14) (2019)
Xiao-Ying Yan, Shao-Wu Zhang, Chang-Run He
Prediction of drug-target interaction by integrating diverse heterogeneous information source with multiple kernel learning and clustering methods. Comput. Biol. Chem. 78 (2019)
Xiao-Nan Fan, Shao-Wu Zhang, Song-Yao Zhang, Kunju Zhu, Songjian Lu
Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information. BMC Bioinform. 20 (1) (2019)
Ze-Gang Wei, Shao-Wu Zhang
NPBSS: a new PacBio sequencing simulator for generating the continuous long reads with an empirical model. BMC Bioinform. 19 (1) (2018)
Teng Zhang, Shao-Wu Zhang, Lin Zhang, Jia Meng
trumpet: transcriptome-guided quality assessment of m6A-seq data. BMC Bioinform. 19 (1) (2018)
Weifeng Guo, Shao-Wu Zhang, Li-Li Liu, Fei Liu, Qianqian Shi, Lei Zhang, Ying Tang, Tao Zeng, Luonan Chen
Discovering personalized driver mutation profiles of single samples in cancer by network control strategy. Bioinform. 34 (11) (2018)
Hui Liu, Huaizhi Wang, Zhen Wei, Songyao Zhang, Gang Hua, Shao-Wu Zhang, Lin Zhang, Shou-Jiang Gao, Jia Meng, Xing Chen, Yufei Huang
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Nucleic Acids Res. 46 (Database-Issue) (2018)
Fang Jing, Shao-Wu Zhang, Zhen Cao, Shihua Zhang
Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning. ISBRA (2018)
Lian Liu, Shao-Wu Zhang, Yufei Huang, Jia Meng
QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model. BMC Bioinform. 18 (1) (2017)
Fei Liu, Shao-Wu Zhang, Weifeng Guo, Ze-Gang Wei, Luonan Chen
Inference of Gene Regulatory Network Based on Local Bayesian Networks. PLoS Comput. Biol. 12 (8) (2016)
Ze-Gang Wei, Shao-Wu Zhang, Fang Jing
Exploring the interaction patterns among taxa and environments from marine metagenomic data. Quant. Biol. 4 (2) (2016)
Song-Yao Zhang, Shao-Wu Zhang, Lian Liu, Jia Meng, Yufei Huang
m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks. PLoS Comput. Biol. 12 (12) (2016)
Lin Zhang, Jia Meng, Hui Liu, Xiaodong Cui, Shao-Wu Zhang, Yidong Chen, Yufei Huang
Detecting differentially methylated mRNA from MeRIP-Seq with likelihood ratio test. GlobalSIP (2014)
Wei Chen, Yongmei Cheng, Shao-Wu Zhang, Quan Pan
Supervised method for periodontitis phenotypes prediction based on microbial composition using 16S rRNA sequences. Int. J. Comput. Biol. Drug Des. 7 (2/3) (2014)
Yu-Chen Zhang, Shao-Wu Zhang, Lian Liu, Lin Zhang, Hui Liu, Xiaodong Cui, Yufei Huang, Jia Meng
Differential analysis of RNA methylome with improved spatial resolution. GlobalSIP (2014)
Shao-Wu Zhang, Fei Liu, Ze-Gang Wei, Wei Chen, Chen Zhou
Detecting seasonal marine microbial communities with symmetrical non-negative matrix factorization. BIBM (2013)
Yi-Bin Wang, Yongmei Cheng, Shao-Wu Zhang, Wei Chen
A seed-based approach to identify risk disease sub-networks in human lung cancer. ISB (2012)
Shao-Wu Zhang, Yongmei Cheng, Li Luo, Quan Pan
Prediction of Protein-Protein Interaction Using Distance Frequency of Amino Acids Grouped with their Physicochemical Properties. BIC-TA (2011)
Shao-Wu Zhang, Yao-Jun Li, Li C. Xia, Quan Pan
PPLook: an automated data mining tool for protein-protein interaction. BMC Bioinform. 11 (2010)
Wei Chen, Shao-Wu Zhang, Yongmei Cheng, Quan Pan
Prediction of Protein-RNA interaction site using SVM-KNN algorithm with spatial information. BIBM (2010)
Wei Chen, Shao-Wu Zhang, Yongmei Cheng, Quan Pan
Prediction of protein-protein interaction types using the decision templates based on multiple classier fusion. Math. Comput. Model. 52 (11-12) (2010)
Kun Zhao, Shao-Wu Zhang, Quan Pan
Finding Fuzzy Communities in Directed Networks. ANNIIP (2010)
Shao-Wu Zhang, Wei Chen, Chunhui Zhao, Yongmei Cheng, Quan Pan
Predicting Protein Quaternary Structure with Multi-scale Energy of Amino Acid Factor Solution Scores and Their Combination. ICMB (2008)
Qi-Peng Li, Shao-Wu Zhang, Quan Pan
Prediction of Protein Homo-oligomer Types with a Novel Approach of Glide Zoom Window Feature Extraction. ICIC (1) (2008)
Qi-Peng Li, Shao-Wu Zhang, Quan Pan
Using Multi-scale Glide Zoom Window Feature Extraction Approach to Predict Protein Homo-oligomer Types. PRIB (2008)
Jianyu Shi, Shao-Wu Zhang, Quan Pan, Yanning Zhang
Using Decision Templates to Predict Subcellular Localization of Protein. PRIB (2007)
Jianyu Shi, Shao-Wu Zhang, Yan Liang, Quan Pan
Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine. PRIB (2006)
Shao-Wu Zhang, Quan Pan, Hongcai Zhang, Yun-Long Zhang, Hai-Yu Wang
Classification of protein quaternary structure with support vector machine. Bioinform. 19 (18) (2003)